AI Agents on Kafka: Act on Live Events, Inside Your Network

AI agents on Kafka. Acting on live events, with every decision on the record.

Your business already runs on streams. Your agents should too.

Most AI agents still read last night's export and answer questions. The value is in agents that act on what is happening now: an order, a sensor reading, a payment. That only works if every action passes your rules first, every decision is logged, and your data never leaves your network. Lascaris gives your agents that foundation, on the Kafka you already run.

Agents sense live Kafka events and decide against the policy you set

Every decision written to an immutable audit log

Inside your network. Data leaving: 0 bytes

An agent is only as good as what it knows right now.

A copilot can live with yesterday's data. An agent that acts cannot. If it reroutes a shipment, blocks a payment or changes a load profile, it has to see the event when it happens, not after the next batch job.

01 · Fresh state

Decide on what is true now

Kafka already carries your orders, payments, telemetry and alerts as they happen. Agents that read the stream see the same live picture your systems do.

02 · Act in time

Minutes matter

Fraud, outages and supply problems do not wait for a nightly load. Event-driven agents react to the event itself, not to a report about it.

03 · One spine

No new copy of your data

Agents read from the platform you already trust and govern. No extra pipeline to a third-party AI service, no second copy to secure.

Agents that act can also act wrong.

The moment an agent can change something real, four questions land on the desk of the platform and AI leaders. Have an answer before the first agent goes live.

Control

Who stops a bad action?

A model can be wrong with full confidence. Without a hard policy check before the action, the first mistake reaches production.

Audit

Can you show why it acted?

Regulators and your own risk team will ask what the agent saw, what it decided and which rule allowed it. Chat logs are not an audit trail.

Sovereignty

Where does your data go?

Many agent tools send prompts, context and reasoning to an outside service. For regulated data that is often a non-starter.

Lock-in

Can you leave?

Agents built into one vendor's closed stack are hard to move. Your models, your rules and your history should stay yours.

Sense. Decide. Check. Record.

Lascaris is the foundation your AI agents run on. Every action goes through the same four steps, inside one boundary: your network.

1. Sense

Agents read live data straight from your Kafka topics, the same streams your operations already run on.

2. Decide

Agents reason on live state with any model that has an API, including models you host yourself. Shared memory gives every agent the same picture.

3. Check

Before anything happens, the action is checked against the policy you set. If it fails the rule, it does not run.

4. Record

Every decision is written to an immutable audit log, built for the AI Act, DORA and NIS2. You can show what happened and why.

Inside your network. Data leaving: 0 bytes. Reasoning never leaves your environment.

Keep your Kafka. Add agents you can trust.

Lascaris installs onto the Kafka you already have and uses it as the spine. No cluster to build if you have none: the Kafka-native engine is included.

Question	With Lascaris
Our Kafka	Works with any Kafka that speaks the standard protocol: Confluent, Apache Kafka, Redpanda, MSK and more. Or it ships its own engine.
Our models	Any model with an API, including the ones you host yourself.
Our tools	MCP support, so agents can use the tools you already expose.
Where it runs	Managed by Scalytics in your own cloud, or self-run on-prem or air-gapped.
Control	Policy check before every action. Immutable audit log of every decision.
Lock-in	Apache 2.0 open core. One supported distribution under one contract, tested and maintained together.

Built for defense, energy, robotics, space, finance, health and other regulated operators.

Not built for lightweight chatbots or SaaS copilots.

FAQ

Common questions.

Why run AI agents on Kafka?

Because Kafka already carries the live events your business runs on. Agents that read the stream act on what is true now, instead of a batch export that is hours old.

How do you stop an AI agent from taking a bad action?

In Lascaris, every action is checked against the policy you set before it runs. If the action fails the rule, it does not run.

Is there an audit trail for agent decisions?

Yes. Lascaris writes every decision to an immutable audit log, built for the AI Act, DORA and NIS2.

Does our data leave our network?

No. Lascaris runs inside your own cloud account, on-prem or air-gapped. Your data and your agents' reasoning stay in your environment.

Do we need to replace our Kafka?

No. Lascaris works with any Kafka that speaks the standard protocol, including Confluent, Apache Kafka, Redpanda and MSK, and uses it as the spine. If you have no cluster, the Kafka-native engine is included.

Which AI models and tools can our agents use?

Any model with an API, including models you host yourself. Lascaris supports MCP, so agents can use the tools you already expose.

Who runs it?

Your choice. Scalytics manages it in your own cloud, or your team runs it on-prem or air-gapped with our support.

AI agents on Kafka. Acting on live events, with every decision on the record.